Naoki Mukawa

161 total papers · 1.4k total citations
76 papers, 925 citations indexed

About

Naoki Mukawa is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Naoki Mukawa has authored 76 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 15 papers in Human-Computer Interaction and 12 papers in Cognitive Neuroscience. Recurrent topics in Naoki Mukawa's work include Gaze Tracking and Assistive Technology (14 papers), Advanced Vision and Imaging (10 papers) and Social Robot Interaction and HRI (9 papers). Naoki Mukawa is often cited by papers focused on Gaze Tracking and Assistive Technology (14 papers), Advanced Vision and Imaging (10 papers) and Social Robot Interaction and HRI (9 papers). Naoki Mukawa collaborates with scholars based in Japan, United States and United Kingdom. Naoki Mukawa's co-authors include Takehiko Ohno, Atsushi Yoshikawa, Kazuhiro Otsuka, Keiichi Saito, Norihiro Hagita, Shinjiro Kawato, Atsushi Kimura, Hitomi Sakano, Hitoshi Sakano and Taichi Nakamura and has published in prestigious journals such as Computers in Human Behavior, IEEE Journal on Selected Areas in Communications and Pattern Recognition.

In The Last Decade

Naoki Mukawa

64 papers receiving 838 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Naoki Mukawa	450	354	163	140	133	76	925
Sampath Jayarathna	439 1.0×	181 0.5×	85 0.5×	98 0.7×	116 0.9×	76	1.0k
Kuno Kurzhals	589 1.3×	822 2.3×	45 0.3×	103 0.7×	64 0.5×	61	1.1k
Marco Porta	498 1.1×	281 0.8×	41 0.3×	83 0.6×	47 0.4×	74	1.1k
Anthony J. Hornof	633 1.4×	212 0.6×	160 1.0×	124 0.9×	73 0.5×	41	1.1k
Stylianos Asteriadis	277 0.6×	491 1.4×	92 0.6×	272 1.9×	22 0.2×	67	1.0k
Wolfgang Fuhl	665 1.5×	257 0.7×	35 0.2×	78 0.6×	310 2.3×	52	975
Silèye Ba	253 0.6×	676 1.9×	136 0.8×	267 1.9×	20 0.2×	42	1.1k
Peter Kiefer	512 1.1×	317 0.9×	143 0.9×	47 0.3×	13 0.1×	70	1.1k
Aulikki Hyrskykari	657 1.5×	196 0.6×	71 0.4×	62 0.4×	64 0.5×	24	835
Thiago Santini	630 1.4×	240 0.7×	64 0.4×	42 0.3×	293 2.2×	33	996

Countries citing papers authored by Naoki Mukawa

Since Specialization

Citations

This map shows the geographic impact of Naoki Mukawa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Naoki Mukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Mukawa more than expected).

Fields of papers citing papers by Naoki Mukawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naoki Mukawa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Naoki Mukawa. The network helps show where Naoki Mukawa may publish in the future.

Co-authorship network of co-authors of Naoki Mukawa

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Mukawa. A scholar is included among the top collaborators of Naoki Mukawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naoki Mukawa. Naoki Mukawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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